Some of the actions by govt in its 3rd term are very bizarre and often seem self-sabotaging
1. Importing. weapons wholesale instead of giving chance to domestic players
2. Buying $8-10bn worth of missiles from Israel when we've better missile systems than them.
3. Junking thorium (which India has abundance of) as energy source in the favour of western imports
4. Not assigning enough capital for jet engine program, and killing it
5. Letting the only domestic navigation system die to be fully reliant on america
6. Hollow out PSUs of national importance and selling them for peanuts
7. Visiting a foreign country at eve of war with phull support only to make a complete U-turn within 2 weeks
8. Dumping all weather ally Russia, then going back to them after a month to buy same oil with 80% markup
9. Not adding a single jet in 4 year but losing 4-5 due to technical incidents and what not
10. Hollowing out the treasury in ladli behan yojna instead of on meaningful projects that are fruitful in the long run
11. Allowing upt 70-80% FDI in banking segment when Indian banks are already one of the best run in the world. Higher FDI means we only lose our financial sovereignty and foreign actors easily can pull bank runs
12. Complete U-turn from stated policy wrt China, secede the land in Arunachal and allow for FDI (not sure if it's actually bad, we will get to see in the long run but huge policy inconsistency nonetheless)
I can go on but most of them have been done in 3rd terms. May be someday we will get to know who was running PMO if there was a trojan horse.
~2012 must have been like a crazy time.
Neural networks were considered nonsense by most people. Hinton, LeCun and Bengio were the amongst the very few people who kept it all alive for decades.
Alex Krizhevsky, a mad coding genius and a socially aloof kid, shows up to Hinton's lab and says he is bored by the software engineering courses and asks to work there.
Hinton has another student Ilya Sutskever, who is like this mystic guy, who says neural networks are the future and they will outpace human intelligence.
Safe to say most people at this point think these guys are crazy.
Hinton tells these two guys to train a convolutional neural network on Imagenet and specifically tells them to use GPUs. He wants to make machines see.
Krizhevsky goes to town and masters CUDA and parallel programming, and they train a model called SuperVision. Hinton understands the magnitude of what just happened, and tells him to use the name AlexNet instead to carry on Krizhevsky's legacy.
This is submitted to the ImageNet challenge, and Fei Fei Li's student is like "wtf, this must be someone cheating" because it's miles ahead of other submissions. This was most likely the last year for ImageNet challenge because the progress was super slow until then.
Fei Fei Li gets a call and the student says "you better take a look at this".
They can't find out any problem. They test the model on entirely unseen data, and it crushes everything else.
Fei Fei Li is dumbfounded, not just because of the jump in performance, but because it's using this "nonsense" piece of technology called a neural network. She says “It was like being told the land speed record had been broken by a margin of a hundred miles per hour by a Honda Civic”.
Two things happen: people wake up about neural networks. And Jensen truly now (actually only in 2013, but that's story for another time) understands what Nvidia needs to do next.
And then the socially aloof Alex Krizhevsky disappears completely, but his legacy lives on with AlexNet. It is rumored that he is living somewhere in Mountain view, having given up on AI and perhaps technology itself.
No country in the World will be able to target Bharat 🇮🇳 once we achieve E100 Ethanol. We must seriously push for 100% Ethanol blending by 2030.
Ethanol + EV + Solar is what Energy Independence looks like
Made in India, Made for Bharat 🇮🇳
Pic Source - SIAM, me
Nobody died in this, btw, because the government funds experts who predicted this event and everyone (including animals) was evacuated. If something like this were to happen in the Himalayas of India or Nepal… hundreds if not thousands would have lost their lives.